Omar Sultan Al-Kadi

Orcid: 0000-0002-6346-0106

According to our database1, Omar Sultan Al-Kadi authored at least 33 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Style Identification Using Semisupervised Self-Taught Labeling.
IEEE Trans. Learn. Technol., 2024

Learning Style Identification Using Semi-Supervised Self-Taught Labeling.
CoRR, 2024

2023
An enhanced Harris hawk optimizer based on extreme learning machine for feature selection.
Prog. Artif. Intell., March, 2023

Learning Style Identification.
Dataset, March, 2023

Deepfake Image Generation for Improved Brain Tumor Segmentation.
CoRR, 2023

A hierarchical intrusion detection system based on extreme learning machine and nature-inspired optimization.
Comput. Secur., 2023

2022
The effect of loss function on conditional generative adversarial networks.
J. King Saud Univ. Comput. Inf. Sci., 2022

2021
Unpaired MR-CT Brain Dataset for Unsupervised Image Translation.
Dataset, August, 2021

Unpaired MR-CT Brain Dataset for Unsupervised Image Translation.
Dataset, February, 2021

Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis.
Comput. Biol. Medicine, 2021

Biomedical computing in the Arab world: unlocking the potential of a growing research community.
Commun. ACM, 2021

2020
Spatio-Temporal Segmentation in 3-D Echocardiographic Sequences Using Fractional Brownian Motion.
IEEE Trans. Biomed. Eng., 2020

Time-aware domain-based social influence prediction.
J. Big Data, 2020

Knowledge Management Systems Requirements Specifications.
CoRR, 2020

An Approach for Time-aware Domain-based Social Influence Prediction.
CoRR, 2020

2019
Spatio-Temporal Segmentation in 3D Echocardiographic Sequences using Fractional Brownian Motion.
CoRR, 2019

Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors.
CoRR, 2019

Multiscale Nakagami parametric imaging for improved liver tumor localization.
CoRR, 2019

2018
Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

2017
A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination.
CoRR, 2017

2016
Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization.
CoRR, 2016

Supervised Texture Segmentation: A Comparative Study.
CoRR, 2016

Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization.
Medical Image Anal., 2015

Combined statistical and model based texture features for improved image classification.
CoRR, 2015

A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours.
Comput. Medical Imaging Graph., 2015

2014
Road scene analysis for determination of road traffic density.
Frontiers Comput. Sci., 2014

2012
Local binary patterns for stromal area removal in histology images.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2010
Texture measures combination for improved meningioma classification of histopathological images.
Pattern Recognit., 2010

Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images.
Comput. Medical Imaging Graph., 2010

2009
A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours.
Proceedings of the International Conference on Image Processing, 2009

2008
Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images.
IEEE Trans. Biomed. Eng., 2008

Susceptibility of texture measures to noise: An application to lung tumor CT images.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008


  Loading...